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Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Results 174 stanza issues
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**Describe the bug** Can't get a binary tree using stanza.pipeline

enhancement

**Describe the bug** For this sentence, ``` He also designed furniture and houses for the wealthy. ``` `wealthy` is a adjective that exceptionally head a nominal phrase, which should be...

bug
data issue

**Is your feature request related to a problem? Please describe.** A clear and concise description of what the problem is to have a module that provides text summarization. This is...

enhancement

I have a dataframe with 800,000 rows and for each row, I want to find the person mentioned in each comment (row.comment). I want to use Stanza because it has...

bug

Hi, it seems this bias weight in `PairwiseBilinear` is not used. Possibly a (minor) bug? https://github.com/stanfordnlp/stanza/blob/1c73418b65905b2d32f7b0dcb0bdd4a615b6ab0a/stanza/models/common/biaffine.py#L17

bug

I am looking for the code for Semantic Dependency Parsing. https://github.com/tdozat/Parser-v3 said I should be able to find it in the https://github.com/stanfordnlp/stanfordnlp/ repo. But that repo is marked obsolete, replaced...

enhancement
question

If you see the commands below, for any single word identified, the lemma is being shown as different which for me is a bug. Please, correct me if not and...

bug

**Is your feature request related to a problem? Please describe.** I'm testing a trained NER model for Armenian for my project. After obtaining tangible results of its performance, this might...

enhancement
awaiting feedback

**Describe the bug** During the parsing of [this wiki page](https://en.wikipedia.org/wiki?curid=52074018), the parser fails with the following traceback: ``` Traceback (most recent call last): File "", line 1, in File "/path/pyenv/versions/3.10.2/lib/python3.10/site-packages/stanza/pipeline/core.py",...

bug
fixed on dev

Currently the depparse training uses gold lemmas. This means that at runtime, the lemmas the parser sees for user text or ETE scoring are slightly different. 4% in the case...

bug